Abstract
This paper proposes a novel coupling-informed data-driven algorithm tailored for the concurrent estimation of frequency and angle within a uniform linear array (ULA), while addressing the complicating influence of mutual coupling. Leveraging the hybrid dynamic mode decomposition (DMD) methodology, termed as averaged DMD, we incorporate moving average techniques to achieve effective denoising. The averaged DMD further decomposes the received signal into eigenvalues and corresponding eigenvectors. The frequency information is derived from the eigenvalues and the corresponding eigenvectors represent the steering vectors of sources. Subsequently, mutual coupling is informed into the calibration of the steering vector for each source. Specifically, the calibration of corresponding eigenvectors leverages the inverse of the mutual coupling matrix, i.e., Toeplitz matrix, acquired through Schur decomposition. Then, the calibrated steering vectors facilitate the estimation of angles. The decomposition results of our proposed method reveal a significant one-to-one correspondence between eigenvectors and eigenvalues, enabling the automatic pairing of estimated frequencies and angles. Several numerical examples demonstrate the effectiveness and robust anti-noise properties of the proposed method, especially in scenarios where mutual coupling has a significant impact. Hence, our work contributes to the advancement of signal processing techniques in ULA applications, offering a promising avenue for enhanced performance in practical communication and radar systems.
Recommended Citation
Y. Zhang et al., "Coupling-Informed Data-Driven Scheme for Joint Angle and Frequency Estimation in Uniform Linear Array with Mutual Coupling Present," IEEE Transactions on Antennas and Propagation, Institute of Electrical and Electronics Engineers, Jan 2024.
The definitive version is available at https://doi.org/10.1109/TAP.2024.3485251
Department(s)
Electrical and Computer Engineering
Second Department
Geosciences and Geological and Petroleum Engineering
Publication Status
Early Access
Keywords and Phrases
automatic pairing; dynamic mode decomposition; joint angle and frequency estimation; moving average; Mutual coupling; Schur decomposition
International Standard Serial Number (ISSN)
1558-2221; 0018-926X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2024
Included in
Electrical and Computer Engineering Commons, Geology Commons, Geophysics and Seismology Commons
Comments
National Natural Science Foundation of China, Grant NSFC 62471332